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Journal : Journal of Fisheries

Isolation, Identification, and Pathogenicity of Potential Probiotics Isolated from Intestinal Coconut Crab (Birgus latro Linnaeus, 1767) Aris, Muhammad; Tamrin, Tamrin; Munaeni, Waode; Malan, Sudirto; Juharni, Juharni; Labenua, Rusmawati
Jurnal Ilmiah Perikanan dan Kelautan Vol. 16 No. 1 (2024): JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.v16i1.45647

Abstract

Abstract The supply of coconut crabs (Birgus latro Linnaeus, 1767) has been sourced from capture in the wild. Development efforts in aquaculture have succeeded in producing eggs. However, further development with larval maintenance failed because it was constrained by a low survival rate. This study aimed to identify the potential probiotic bacteria in coconut crabs. Coconut crab samples were collected from Moor Island, South Patani District, Central Halmahera Regency, North Maluku Province, Indonesia. The intestines of coconut crabs were taken as much as 1 g, then ground on a porcelain dish and added to Tri-Salt. The scouring liquid was taken in 0.1 ml and spread on a petri dish containing Nutrient Agar. The isolated used were marked with BL1, BL2, BL3, BL4, and BL5. Molecular identification was performed with sequencing and then analyzed using the Basic Local Alignment Search Tool (BLAST). The selection of isolates from the gastrointestinal tract of coconut crabs showed that the bacteria obtained were Enterobacter tabaci (BL1), Enterobacter hormaechei (BL2), Bacillus horneckiae (BL3), Pseudomonas stutzeri (BL4), and Acinetobacter variabilis (BL5). Further testing revealed that the bacteria A. variabilis (BL5) is a probiotic isolate in coconut crabs. Highlight Research The intestinal bacteria from coconut crabs identified were E. tabaci, E. hormaechei, B. horneckiae, P. stutzeri, and A. variabilis. The E. tabaci strain BL1, E. hormaechei strain BL2, B. Horneckiae strain BL3, and P. stutzeri strain BL4 are pathogenic bacteria. The A. variabilis strain BL5 is potential probiotics bacteria. The A. variabilis strain BL5 showed a better survival rate than other isolates.
Shoreline Change Detection Using DSAS: Case Study in PT IWIP Mining Industrial Area, North Maluku Province, Indonesia Wahidin, Nurhalis; Susanto, Adi Noman; Irham; Harahap, Zulhan Arifin; Salnuddin; Aris, Muhammad
Jurnal Ilmiah Perikanan dan Kelautan Vol. 17 No. 2 (2025): JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.v17i2.64271

Abstract

Graphical Abstract   Highlight Research DSAS based on geographic information systems has the ability to extract important information on the dynamics of shoreline changes, both accretion and abrasion. The dynamics of shoreline change in the short period of time 2018-2023 in the IWIP industrial area shows a very dynamic change process dominated by accretion. The conversion of beach into land was more prevalent than the process of shoreline retreat in the study area. The abrasion rate in this study area was categorized as moderate, while the accretion rate was categorized as very high due to construction activities.     Abstract The development of industrial estate infrastructure in coastal areas causes significant changes in coastal morphology. Despite extensive infrastructure development in coastal zones, limited empirical data exists on the shoreline dynamics of newly established industrial estates, particularly in Eastern Indonesia, thus highlighting the urgency of this study. This study investigates coastal morphology changes in the PT Indonesia Weda Bay Industrial Park (IWIP) industrial area over five years using Landsat 8 OLI level 2A satellite imagery and geospatial analysis. Shoreline extraction was performed using the Normalized Difference Water Index (NDWI) algorithm and analyzed with the Digital Shoreline Analysis System (DSAS) applying the Net Shoreline Movement (NSM), End Point Rate (EPR), and Linear Regression Rate (LRR) methods. The findings show that from 2018 to 2023, the shoreline in the PT IWIP area predominantly experienced accretion. The highest rate of shoreline accretion occurred in industrial zone, with a maximum of 147.58 m/year and an average of 36.56 m/year, while residential zones in the eastern and western regions experienced moderate abrasion, with a maximum of 12.32 m/year and an average of 4.11 m/year. Categorization followed standard DSAS criteria, where shoreline changes between 10–30 m/year were considered moderate, and changes above 30 m/year were classified as very high. Measurement accuracy was validated using high-resolution Google Earth imagery and Landsat metadata, ensuring positional accuracy within ±30 meters. These results highlight the rapid and spatially varied shoreline changes driven by industrial activities, emphasizing the importance of remote sensing in monitoring and managing coastal development impacts
Co-Authors Abbas, Muh. Hasbi Abdillah Fattah, Gilang Abubakar, Salim Achmad, M. Janib Adi Noman Susanto Adityawan Ahmad Adriana, Andi Nur Ilmi Agus Supinganto Ahmad, Aditiyawan Al Farabi, Muhammad Ramdhan Fathin Alfina Maysyurah Alpizar Alpizar Amelia, Mega Suci Aprilia, Anjelita Amanda Asma Asmaq, Nur ASRIL ASRIL Buang, Ariyani Danema, Nur Imania Darmiyati Muksin Deviana Fadhil, Muflihul Fadli Aliyah, Dede Firmansyah Hafid, Muliana Handayani, Risthy Puji Hani, Sofia Herdi Syam Herlina Arifin Herlinda Herlinda, Herlinda Ibrahim, Tamrin A. Ibrahim, Tamrin Ali Iksan, Kusdi Hi irham Irham Irham Jenice Sanaky, Marisca Juharni, . Juharni, Juharni KA, Syarifuddin Karlina, Nonok Karman, Amirul Kolabani, Matias Nataniel Labenua, Rusmawati Mahendika, Devin Malan, Sudirto Mega Yulia Mochamad Whilky Rizkyanfi Muchdar, Fatma Muhammad Nur Fajar Mukhlis Mukhlis Muntahar, Waisya Ade Najeminur, Najeminur Nasir, Lidiawati Nur Faizulhak, Fauzi Nurhalis Wahiddin Patmasari, Eka Permana, Febrian Prayitno, Suprapto Purwantoro, Didik S Rais, Rinovian Ramadani, Aditya Rangkuti, Ayub Ratna Sari Dewi Ria Yuni Lestari, Ria Yuni Riyadi Subur, Riyadi Rovina Andriani S, Syahpawi Safitri Octaviani, Wulan Saifullah, Dadang Salnuddin Saputra, Iin Saputra, Randa Fajar Sarbiah, Andi Sari, Mei Fatmila Sendra, Eny Sumargono Sumarno . Suryadi, Nanda Suryani, Putri Aulia Suryati, Yuyun Suryono Syahrial, Murah Syamsiah Syam, Syamsiah Taher, Muhammad Nur Tamrin Tamrin Taufiq Abdullah, Taufiq Temarwut, Farid Fani Triani, Ratu Anggi Wahidin, Nurhalis WAODE MUNAENI Yudi Yudi Zulhan Arifin Harahap